Identification

Name

UMD Satellite Water Marker Model

Contact people
(1) Alen Agheksanterian, aa5@math.umbc.edu
(2) Jutla Antarpreet, asjutla@mail.wvu.edu
(3) Matthias Gobbert, gobbert@math.umbc.edu
Created

2013-11-01 16:11:33+00:00

Modified

2015-12-04 16:22:44.961665+00:00

Overview

Types
(1) Disease Dynamics
Overview

This study developed an index using observed wavelength radiance in order to identify spatial and temporal conditions in coastal regions that predict cholera incidence with a forecast of several months. This index was to be an accurate predictor, and applicable over different geographic regions with minimal tuning or parameters.

Question

How well do satellite water markers predict cholera incidence?

Purpose

Forecasting

Scope

Disease and Location

Goals
(1) Early warning
Decision support

No

Based on
Products
(1) Disease incidence
(2) Science of transmission
Documents
(1) Document Jutla A, Akand AS, Huq A, Syed A, Faruque G, et al.: A water marker monitored by satellites to p… (2013)
Notes

Application

Diseases
(1) Cholera
Locations
(1) Location Mozambique
Status
(2) Location Bangladesh
Status

Utility and readiness

Readiness

Study

Organizations
(1) Organization National Institutes of Health (NIH)
Role
Independently tested

No

Compared to model

Yes

Compared to reality

Yes

Verification & validation notes

The model was compared with a model that predicted cholera based on chlorophyll levels in the water. The model was mathematically verified.

Sensitivity analysis

Yes

Availability

Input

Input datasets
(1) Name Epidemiologic Records
Category Clinic/Health Care Provider Records
Subject
URL
Notes
(2) Name Sea viewing Wide Field-of-view Sensor (Sea WiFS) monthly radiance for 412, 443, 490, 510, 555 nm at 9 km resolution
Category Established Databases
Subject
URL
Notes